Modelling measurement errors and category misclassifications in multilevel models-Reference-Cited by-同舟云学术

Modelling measurement errors and category misclassifications in multilevel models

Published:2008-09 Issue:3 Volume:8 Page:243-261
ISSN:1471-082X
Container-title:Statistical Modelling
language:en
Short-container-title:Statistical Modelling

Author:

Goldstein Harvey,Kounali Daphne¹,Robinson Anthony²

Affiliation:

1. Graduate School of Education, University of Bristol, England

2. Department of Mathematical Sciences, University of Bath, England

Abstract

Models are developed to adjust for measurement errors in normally distributed predictor and response variables and categorical predictors with misclassification errors. The models allow for a hierarchical data structure and for correlations among the errors and misclassifications. Markov Chain Monte Carlo (MCMC) estimation is used and implemented in a set of MATLAB macros.

Publisher

SAGE Publications

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://journals.sagepub.com/doi/pdf/10.1177/1471082X0800800302

Reference27 articles.

1. A Study of Class Size Effects in English School Reception Year Classes

2. Measurement Error in Nonlinear Models

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